Describe features of generative AI workloads on Azure

A marketing team wants to use Azure AI to automatically generate unique product descriptions for thousands of items in an e-commerce catalog based on a few keywords provided by the inventory team. Which Azure service should they use?

A company is developing a chatbot that can both answer customer questions in natural language and create images on demand (e.g., 'Generate a picture of a product prototype'). Which combination of Azure generative AI models should they integrate?

A game development company uses Azure OpenAI Service to automatically generate in-game dialog for non-player characters (NPCs) based on character profiles. They need to ensure the generated text does not contain offensive language or harmful suggestions. Which Azure OpenAI Service feature should they configure to prevent this?

A company uses Azure OpenAI Service to generate marketing copy for social media posts. They want to prevent the model from producing content that contains offensive language, harmful stereotypes, or violent themes that go against their brand guidelines. Which feature should the company configure within Azure OpenAI Service?

A company uses Azure OpenAI Service to power a chat-based support assistant. They have extensive knowledge base documents that contain the correct information. The company wants the assistant to answer questions solely based on the provided documents and avoid generating plausible-sounding but incorrect information. Which approach should they implement to minimize the risk of such fabrications?

A marketing team uses Azure OpenAI Service to generate multiple variations of a product description from a single prompt. They want the generated descriptions to be more creative and diverse, rather than repetitive. Which parameter should they increase to achieve this?

A company uses Azure OpenAI Service to power an AI assistant that helps customers with product troubleshooting. The assistant must maintain the conversation history to provide contextually relevant answers across multiple turns. Which API endpoint should be used for this purpose?

A marketing agency wants to use Azure OpenAI Service to generate product descriptions that consistently match a client's distinctive brand voice. They have a collection of 50 sample descriptions written in the desired tone and style. Which Azure OpenAI Service capability should they use to specialize the model to produce text that closely matches this style?

A marketing team uses Azure OpenAI Service to generate headline ideas for a campaign. They find the generated headlines are often too similar and lack creativity. Which parameter should they increase to introduce more randomness in the generated text?

A game development studio uses Azure OpenAI Service to generate unique backstories for non-player characters (NPCs). They want the generated stories to be coherent and relevant to a given character class (e.g., warrior, mage) but also creative and varied. Which parameter should the studio adjust primarily to increase the creativity and variety of the generated text?

A marketing team wants to use Azure OpenAI Service to generate product descriptions that consistently match a specific brand voice. They have a small set of example descriptions that demonstrate the desired tone. They want to adapt the model without retraining it from scratch. Which approach should they take?

A company uses Azure OpenAI Service to generate long technical reports. To manage costs, the development team needs to accurately estimate the number of tokens that a given prompt will consume before making any API call. Which Azure OpenAI Service feature should they use to obtain this estimate?

A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?

A developer is using Azure OpenAI Service to generate Python code snippets. They notice that the generated code often contains repetitive function definitions and loops. Which parameter should be increased to reduce this repetition?

A marketing team uses Azure OpenAI Service to generate marketing copy. They notice the generated text is often repetitive, using the same phrases and words multiple times. Which parameter should they increase to directly reduce this repetition?

A quality assurance team at a software company uses Azure OpenAI Service to generate compliance reports. They need the model to produce the exact same output for a given prompt every time the API is called, to ensure reproducibility during testing. Which parameter should they set to achieve this deterministic behavior?

A developer uses Azure OpenAI Service to generate creative marketing copy. The API costs are based on the total number of tokens processed (input + output). To minimize costs, the developer wants to ensure that the generated text is as brief as possible while still being effective. Which parameter should the developer adjust in the API request?

A developer uses Azure OpenAI Service to generate product descriptions. Each description must be concise and not exceed 50 words. Which parameter should the developer set in the API request to control the output length?

A marketing team uses Azure OpenAI Service to generate social media posts. They want the generated text to be more creative and diverse, with unexpected word choices. Which parameter should they increase?

A marketing team uses Azure OpenAI Service to generate tagline options for a new product. They notice that the model often generates very similar taglines for the same prompt, lacking creativity. To increase the diversity and variety of the output, which parameter should they increase?

A financial analyst uses Azure OpenAI Service to generate summaries of quarterly earnings reports. The analyst provides the raw text of the report in the prompt and wants the summary to stick strictly to the facts presented in that text, without adding any external information or speculation. Which technique should the analyst employ to minimize the risk of the model inventing information?

A writer uses Azure OpenAI Service to generate story ideas. The current configuration uses a temperature setting of 0, causing the model to produce identical outputs for the same prompt. The writer wants more creative and diverse outputs. Which parameter should be increased?

A developer uses Azure OpenAI Service to generate code snippets. They need the model to produce the most likely completion each time, with no randomness or creativity. Which parameter should they set?

A developer uses Azure OpenAI Service to generate product reviews for an e-commerce site. The developer notices that the model often repeats the same phrases within the same review, making the output sound unnatural. Which parameter should the developer adjust to reduce this repetition?

A developer uses Azure OpenAI Service to generate multiple alternative product slogans. The developer wants to get exactly 5 different slogan options in a single API call, each being a separate piece of text. Which parameter should the developer set to control the number of completions returned?

A developer uses the Azure OpenAI Service to generate product descriptions for an e-commerce catalog. The developer notices that the generated text is often too long, exceeding the desired word count. Which parameter should the developer set in the API request to strictly limit the length of the generated output?

A social media company uses Azure OpenAI Service to automatically generate captions for user-uploaded images. The company has a strict content policy that prohibits any generated captions containing profanity, hate speech, or self-harm references. Which feature of the Azure OpenAI Service should the company configure to automatically block such harmful content?

A developer uses Azure OpenAI Service to generate marketing copy. They want the model to produce more focused and deterministic responses, reducing the variety of outputs for the same prompt. Which parameter should the developer decrease?

A legal research firm uses Azure OpenAI Service to answer questions about specific case law documents. They want the model to base its answers exclusively on the content of the provided documents, without using any external knowledge from its training. Which approach should they use?

A developer uses Azure OpenAI Service to generate short product descriptions. The developer notices that the model sometimes produces nonsensical or very low-probability words that make the output less coherent. The developer wants to reduce the chance of such outputs while still allowing some creative variability. Which parameter should the developer adjust in the API request?

A social media platform uses Azure OpenAI Service to generate summaries of user comments. The development team discovers that sometimes the generated summaries include offensive or harmful language that was present in the original comments. The team wants to ensure that the generated output is always free of hate speech, profanity, and self-harm references. What should the team configure in the Azure OpenAI Service?

A marketing team wants to create original images for advertisements based on text descriptions. Which Azure OpenAI Service model capability should they use?

A developer uses Azure OpenAI Service to generate long-form articles. The developer notices that the model tends to repeat the same sentence structures and vocabulary, making the output monotonous. Which parameter should the developer increase to reduce this repetition?

A developer is using Azure OpenAI Service to classify customer support tickets into categories such as 'Billing', 'Technical Issue', and 'Account Management'. The developer provides three labeled examples for each category in the prompt to improve the model's accuracy. What technique is the developer applying?

A meeting transcription service needs to convert multilingual audio recordings into accurate text in real time. Which Azure OpenAI Service model is specifically designed for this task?

A company uses Azure OpenAI Service to generate product descriptions for an e-commerce site. They want to ensure that the generated descriptions never contain offensive, violent, or hateful content. Which built-in feature should the developer enable in the Azure OpenAI Service?

A company uses Azure OpenAI Service to generate creative product descriptions. They want to increase the randomness and variety of the generated outputs to produce more diverse suggestions. Which parameter should they increase?

A company uses Azure OpenAI Service to generate executive summaries of lengthy reports. The generated summaries sometimes include information that was not present in the original report, making them unreliable. Which Azure OpenAI Service feature should the company use to anchor the model to the provided report content?

A developer uses Azure OpenAI Service to generate product descriptions. They want to ensure that the model only considers the most likely tokens that together have a cumulative probability of 0.95, ignoring very low-probability tokens that could lead to nonsensical outputs. Which parameter should they configure?

A developer uses Azure OpenAI Service to generate product name suggestions. They want to ensure the model never outputs a specific word, such as 'Corporation', because it is too formal for their brand. Which parameter should the developer configure to reduce the probability of that token being generated?

A marketing team uses Azure OpenAI Service to generate taglines for a new advertising campaign. They want the output to be more predictable and less surprising, sticking to the most common phrases and avoiding unusual combinations. Which parameter should they decrease?

A developer is using Azure OpenAI Service to generate product descriptions from technical specifications. The generated descriptions sometimes include plausible-sounding but incorrect details (hallucinations). The developer wants to ensure the model's responses are strictly based on the provided product data and does not add any external or invented information. Which approach should the developer use?

A developer uses Azure OpenAI Service to generate data transformation scripts. The generated scripts sometimes contain logical errors. To make the model's output more deterministic and reduce variability, which parameter should the developer decrease?

A company uses Azure OpenAI Service to generate marketing copy. They notice that sometimes the generated text contains repetitive phrases or gets stuck in loops. They want to reduce this behavior without changing the overall creativity of the model. Which parameter should they adjust?

A marketing team uses Azure OpenAI Service to generate ad copy. They notice the model sometimes uses offensive language. Which Azure OpenAI feature should they use to automatically block such content?

A developer uses Azure OpenAI Service to generate conversation scripts for a chatbot. The developer wants to encourage the model to introduce new topics and avoid repeatedly discussing the same subject matter. Which parameter should the developer increase?

A marketing team wants to use AI to automatically create new product descriptions that are original and varied, simulating human-like writing. Which type of AI model is best suited for this task?

A fashion retailer wants to automatically generate new, unique images of clothing items based on textual descriptions (e.g., 'a blue silk dress with floral patterns'). Which Azure service would be most appropriate to accomplish this?

A company uses a generative AI model to answer customer questions about their products. They observe that the model sometimes produces factually incorrect or fabricated information. To reduce these inaccuracies, they want to provide the model with relevant, up-to-date product documentation as context before generating a response. Which technique is being applied?

A company uses a GPT-based model to generate marketing copy. They notice the model occasionally produces text that includes harmful stereotypes. They want to reduce these harmful outputs without retraining the model. Which approach is most appropriate?

A company uses a large language model to generate answers to employee questions about internal HR policies. However, the model sometimes produces answers that are factually incorrect or not based on the official policies. To reduce these inaccuracies, the company wants to provide the model with relevant, up-to-date policy documents as extra context before generating a response. Which technique is being applied?

A company uses a generative AI model to create blog posts. They want to ensure that the model's output never contains offensive or harmful language before the content is published. They implement a system that checks the generated text against a list of prohibited terms and blocks or edits the content if necessary. Which type of safety measure is this?

A marketing team wants to use a generative AI model to produce social media posts that match their brand's specific tone and style. They have a small set of example posts written by their copywriters. Which approach should they use to customize the model's outputs without retraining the entire model?

A digital marketing agency wants to use an AI model that can create original images of products in different styles based on text prompts, such as 'a luxury watch in a futuristic setting.' Which Azure service should they choose?

A company wants to build a chatbot that can engage in free-form conversations with customers, answering questions and providing information without being limited to a fixed set of responses. Which type of AI model is most suitable?

A company wants to build a chatbot that answers customer questions using a large language model. The company has an extensive internal knowledge base with accurate, up-to-date product information. To ensure the chatbot's answers are based on this reliable source rather than the model's internal knowledge, which technique should they use?

A museum wants to create an interactive exhibit where visitors can type a description of a fictional creature, such as 'a fire-breathing dragon with emerald scales and golden wings,' and the system generates an image of that creature in real time. The museum must ensure that the generated images are safe and appropriate for all ages, including children. Which Azure service should they use, and which safety feature should they configure?

A company wants to use Azure OpenAI Service to generate product descriptions. They need to ensure the model's output is based on their specific product catalog and pricing, not on generic information. Which approach should they use?

A company wants to use Azure OpenAI to generate personalized marketing emails. They have a large dataset of customer purchase histories. They want the model to generate emails that recommend products based on individual customer preferences without retraining the entire model. Which technique should they use?

A marketing agency wants to use Azure OpenAI Service to generate product descriptions. They need the descriptions to be factually accurate and based on their specific product catalog, which is stored in a vector database. Which technique should they use to ground the model's outputs in their own data?

A company uses Azure OpenAI Service to generate summaries of long technical documents. They notice that the model sometimes produces summaries that sound plausible but contain factual errors contradicting the source document. Which concept describes this type of error in large language models?

A developer wants to use Azure OpenAI to build a customer service chatbot that can answer questions about a company's return policy. They create a set of example question-answer pairs in the prompt without retraining the model. Which technique is being used?

A marketing team uses Azure OpenAI to generate product descriptions. They want the output to reflect their latest catalog and current pricing, not the model's general knowledge. Which technique should they use?

A company uses Azure OpenAI Service to generate marketing copy for a new product. They have a strict brand voice that requires formal, technical language and explicitly prohibits any humorous or informal phrases. They want to enforce these constraints without retraining the model. Which technique should they use?

A marketing team wants to generate unique product images by providing detailed textual descriptions. Which Azure OpenAI model should they use?

A marketing team uses Azure OpenAI Service to generate product descriptions. They have a base description and want the model to produce multiple variations with different tones, such as formal, playful, and technical, while still being factually accurate. Which parameter should they adjust to control the randomness and diversity of the output?

A company uses Azure OpenAI Service to automatically generate customer support email responses. They want to ensure that the model does not produce responses containing offensive language, hate speech, or biased content. Which Microsoft responsible AI principle is most directly addressed by implementing content filters that screen the model's output before it is sent?

A writer uses Azure OpenAI Service to generate multiple story ideas. They find that the model often repeats the same concepts across different outputs. Which parameter should they increase to reduce repetition and encourage more novel content?

A company uses Azure OpenAI to generate marketing copy. They want to ensure that the generated text does not contain inappropriate or harmful content before it is published. Which Azure OpenAI feature is specifically designed for this purpose?

A company wants to build a chatbot that answers customer questions using only their internal knowledge base, which consists of several PDFs and Word documents. They do not want the chatbot to use any information from the model's pre-trained knowledge. Which Azure OpenAI feature should they use to achieve this?

A company wants to use Azure OpenAI to generate realistic customer conversations for training a chatbot. They have a set of example conversation snippets and want the model to mimic the style and structure of those examples. The company does not want to retrain the model. Which approach should they use?

A marketing team uses Azure OpenAI to generate social media posts. They want to ensure the generated text maintains a consistent, predictable brand voice without being overly creative or random. Which parameter should they primarily adjust to control the randomness of the output?

A company wants to use Azure OpenAI to generate product descriptions. They have a few example descriptions that perfectly match their desired style and structure. They want the model to produce new descriptions in the same style without retraining the underlying model. Which approach should they use?

A developer uses Azure OpenAI Service to generate code. They provide a few examples of function definitions and their corresponding descriptions, then ask the model to write a new function based on a new description. Which technique is the developer using?

A marketing team wants to use Azure OpenAI to generate blog post outlines. They have a single example of an outline that follows their preferred structure: introduction, three key points, conclusion. They want the model to generate new outlines that follow the same structure without retraining the model. Which technique should they use?

A customer service company uses Azure OpenAI Service to generate automated replies to customer inquiries. They want each reply to adopt a polite and empathetic tone. Which configuration should they use to guide the model's behavior without retraining?

A developer is using Azure OpenAI Service to generate structured data in JSON format. They want to ensure that every response is valid JSON without adding instructions in every prompt. Which Azure OpenAI feature should they configure?

A content creator uses Azure OpenAI to generate unique story ideas for a fantasy novel. They want the output to be highly creative and unpredictable, avoiding common clichés. Which parameter should they primarily increase to achieve this?

An advertising agency wants to generate product images from text prompts. They need the ability to specify the visual style (e.g., photorealistic, oil painting) and also ensure that the generated images are safe for work by blocking inappropriate content. Which Azure OpenAI model and feature should they use?

A company uses Azure OpenAI Service to generate marketing copy. They want to ensure that the generated text does not contain offensive language or harmful stereotypes, even if the prompt inadvertently leads the model in that direction. Which Azure OpenAI feature should they configure to help prevent such outputs?

A developer is using Azure OpenAI to generate code snippets for a banking application. The developer wants to minimize the risk that the generated code contains security vulnerabilities or malicious instructions, even if the prompt is ambiguous. Which Azure OpenAI feature should the developer configure to address this concern?

A developer uses Azure OpenAI to generate product descriptions. They provide five examples of product descriptions that follow a specific format (name, features, price, call to action). They then ask the model to write a new description for a given product, expecting the same format. Which technique is the developer using?

A creative agency wants to use Azure OpenAI to generate marketing images from text descriptions. They need to ensure that the generated images are appropriate for all audiences by automatically blocking sexually explicit or violent content. Which Azure OpenAI feature should they configure to meet this requirement?

A legal firm wants to use Azure OpenAI to generate summaries of lengthy contracts. The firm requires that the generated summaries are strictly based on the provided contract text and do not include any external knowledge or hallucinated facts. Which Azure OpenAI feature should the firm configure to meet this requirement?

A marketing team uses Azure OpenAI Service to generate product descriptions. They want the descriptions to follow a specific brand voice (formal, concise) and avoid generating any harmful or offensive language. Which combination of features should the team use?

A developer wants to use Azure OpenAI to generate text that follows a specific style, such as formal business letters. They provide three examples of the desired output format in the prompt and then ask the model to generate a new letter. Which technique is the developer using?

A marketing team wants to use Azure OpenAI to generate blog posts. They require the output to avoid toxic language and adhere to their brand safety guidelines. Which Azure OpenAI feature should they configure to automatically block harmful content?

A creative agency wants to use Azure OpenAI to generate unique images for social media campaigns based on text descriptions. Which Azure OpenAI model should they use for this purpose?

A software company uses Azure OpenAI to generate code snippets. They want to evaluate how confident the model is in each token it generates. Which Azure OpenAI feature provides a numerical measure of confidence for each generated token?

A developer uses Azure OpenAI to generate Python code. They want the model to limit the length of the generated code to avoid overly long and complex functions. Which parameter should the developer set in the API call?

A company uses Azure OpenAI to build a customer service chatbot. They want to prevent malicious users from injecting prompts that cause the chatbot to behave unexpectedly, such as revealing its system instructions. Which responsible AI consideration is most directly relevant?

A developer is using Azure OpenAI to generate creative product descriptions. The outputs are often repetitive and lack variety. The developer wants to increase the diversity of the generated text while still keeping it coherent. Which parameter should the developer increase?

A developer uses Azure OpenAI to generate marketing copy. They want the model to follow a very specific tone and style. They provide a few high-quality examples of desired output before the actual prompt. Which technique is the developer using?

A company wants to build a chatbot that can answer questions based on its internal policy documents. The documents are stored in Azure Blob Storage. They plan to use Azure OpenAI to generate answers. Which approach should they use to ensure the answers are grounded in the actual policy content?

A developer uses Azure OpenAI to generate Python code snippets. They want to prevent the model from producing overly long and complex functions by setting a maximum length for the generated output. Which parameter should the developer set in the API call?

A developer uses Azure OpenAI to generate customer support responses. The developer wants to ensure that the model does not produce responses that contain offensive, hateful, or harmful language, even when users input problematic prompts. Which Azure OpenAI feature should the developer configure to achieve this?

A developer is building a customer support chatbot using Azure OpenAI. The chatbot should never reveal its system instructions or internal configuration. The developer wants to add a rule at the beginning of the conversation to prevent prompt injection attacks. Which technique should they use?

A developer is using Azure OpenAI to generate Python code snippets. They notice that the generated code often contains syntax errors because the model introduces too much randomness. Which parameter should the developer decrease to make the output more deterministic and reduce syntax errors?

A developer uses Azure OpenAI to generate product descriptions. The outputs often repeat the same phrases multiple times within a single description. Which parameter should the developer increase to reduce this repetition?

A developer is using Azure OpenAI with GPT-4 to build a chatbot that answers legal questions based on a company's internal policy documents. The developer wants the model's responses to be maximally deterministic and factual, avoiding any creative or speculative language. Which parameter should the developer set to the lowest possible value in the API call?

What is generative AI?

What is a large language model (LLM)?

What is a prompt in the context of generative AI?

What is Azure OpenAI Service?

What is prompt engineering?

What is grounding in the context of generative AI and Retrieval Augmented Generation (RAG)?

What is a 'hallucination' in the context of large language models?

What is a copilot in the context of Microsoft AI products?

What is a system prompt in an Azure OpenAI deployment?

What is the primary difference between GPT models and DALL-E models from OpenAI?

What is 'temperature' in the context of generative AI model parameters?

What is fine-tuning in the context of large language models?

What is the context window in a large language model?

What is Azure AI Studio?

What are embeddings in the context of AI and language models?

What is the difference between Azure OpenAI Service and the public OpenAI API?

What is the primary use case for DALL-E models available in Azure OpenAI?

What is a foundation model in the context of AI?

What is the purpose of Azure AI Content Safety in the context of generative AI deployments?

What is the maximum output length parameter 'max tokens' used for in Azure OpenAI?

What is the difference between zero-shot, one-shot, and few-shot learning in prompting?

What is Azure AI Search (formerly Cognitive Search) and how does it relate to generative AI?

What are 'guardrails' in the context of responsible generative AI deployment?

What is 'responsible AI by design' in the context of building Azure AI applications?

What is the role of the Azure AI Foundry (AI Studio) playground?

What is the primary benefit of using Retrieval Augmented Generation (RAG) over relying solely on an LLM's trained knowledge?

What is the purpose of system messages in Azure OpenAI API calls?

What is a vector database and why is it important for generative AI applications?

What is the Whisper model available in Azure OpenAI used for?

What is the purpose of 'top_p' (nucleus sampling) in Azure OpenAI API calls?

What is 'chain of thought' prompting in generative AI?

What does the Azure AI Foundry model catalog provide?

What is the Azure OpenAI 'content filter' and what categories of content does it cover?

What is 'grounding with Bing search' in Microsoft Copilot?

What is an AI agent in the context of Azure AI and generative AI?

What is 'semantic kernel' in Microsoft's AI development ecosystem?

What is Microsoft 365 Copilot and how does it use generative AI?

What is the 'phi' family of models in Azure AI and what makes them distinctive?

What is the 'frequency penalty' parameter in Azure OpenAI API calls?

What are 'plugins' or 'tools' in the context of AI agents and Microsoft Copilot?

What is the Azure AI Evaluation SDK used for in generative AI development?

What is 'tool calling' (function calling) in Azure OpenAI?

What is the GPT-4o model in Azure OpenAI?

What is 'Azure AI Foundry' and what is its primary purpose?

What is 'model deployment' in Azure OpenAI, and why are named deployments used?

What is GitHub Copilot and how does it use AI?

What is the 'presence penalty' parameter in Azure OpenAI API calls?

What is 'retrieval augmented generation' (RAG) and which Azure services typically implement it?

What is 'grounding' in the context of Azure OpenAI and Retrieval-Augmented Generation?

What is a 'system message' (system prompt) in Azure OpenAI chat models?

What is 'content moderation' in the context of Azure OpenAI?

What is 'hallucination' in large language models and what techniques help reduce it?

What is 'semantic search' in Azure AI Search (cognitive search)?

What is the 'Azure OpenAI Playground' and what is it used for?

What is 'prompt injection' and why is it a security concern for AI applications?

What is 'DALL-E' in Azure OpenAI and what does it do?

What is 'few-shot prompting' and how does it improve model outputs?

What is 'chain-of-thought prompting' and when is it most effective?

What are 'embeddings' in Azure OpenAI and what are they used for?

What is 'Azure AI Studio' and what can you do with it?

What is 'Azure AI Content Safety' and what types of harmful content does it detect?

What is 'fine-tuning' a language model and when should you use it instead of prompt engineering?

What is the 'model catalogue' in Azure AI Foundry/AI Studio?

What is 'constitutional AI' and how does it relate to responsible AI development?

What is 'Azure OpenAI's Assistants API' and what capabilities does it add?

What is 'Copilot' in Microsoft's AI strategy and how does it relate to Azure OpenAI?

What is 'prompt flow' in Azure AI Foundry?

What is 'evaluation' of generative AI models in Azure AI Foundry?

What is 'zero-shot prompting' and how does it work?

What is 'retrieval-augmented generation' (RAG) and what problem does it solve?

What is 'text generation' as a generative AI capability and what are common use cases?

What is 'structured output' (JSON mode) in Azure OpenAI?

What is 'Azure OpenAI's batch API' and when should you use it?

What is 'agentic AI' and how does it differ from a simple chatbot?

What is the 'Phi' family of models in Azure AI Foundry and what makes them distinctive?

What is 'Microsoft Copilot Studio' and what is it used for?

What is 'Whisper' in Azure OpenAI and what can it do?

What is 'multi-agent systems' in the context of Azure AI and agentic workflows?

What is 'code generation' as a generative AI capability and how is it used in development?

What is 'temperature' parameter in Azure OpenAI and how does it affect output?

What is 'token pricing' in Azure OpenAI and what counts as a token?

What is 'Azure AI Search' (formerly Cognitive Search) and how does it support generative AI?

What is 'model distillation' and why might you distill a large model to a small one?

What is 'top_p' (nucleus sampling) in Azure OpenAI and how does it differ from temperature?

What is 'max_tokens' parameter in Azure OpenAI and how does it affect responses?

What is 'Azure OpenAI on your data' and what does it enable?

What is 'Microsoft Semantic Kernel' and how does it relate to Azure OpenAI?

What is 'speculative decoding' and how does it improve LLM inference speed?

What is 'Azure OpenAI's fine-tuning' feature and what data format does it require?

What is 'Microsoft 365 Copilot' and how does it use Azure OpenAI?

What is 'responsible AI impact assessment' for generative AI applications?

What is 'Azure OpenAI deployment' and how does it differ from a 'model'?

What is 'GitHub Copilot' and how does it relate to Azure OpenAI?

What is 'context length' limitation in LLMs and how do 'long-context models' address it?

What is 'Azure AI Foundry's model benchmarks' and how do they help you choose a model?

What is 'Azure AI Services multi-service resource' and what is its advantage?

What is 'Azure AI Content Safety Studio' and what does it help you do?

What is 'Azure OpenAI's content filter' configurability and why does it matter?

What is 'citation' in generative AI and why is it important for trust?

What is 'Azure AI Foundry's model hub' and what models are available there?

What is 'mixture of experts' (MoE) architecture and how does it relate to efficient LLMs?

What is 'guardrails' in generative AI applications and how are they implemented?

Drag and drop the steps to perform a face detection using Azure Face API into the correct order.

Drag and drop the steps to implement content moderation using Azure Content Moderator into the correct order.

Match each Azure AI workload to its responsible AI principle.

Match each Azure AI service to its data input type.